Combining visual techniques for association rules exploration

Proceedings of the Workshop on Advanced Visual Interfaces AVI

Volumn , Issue , 2004, Pages 381-384

  Bruzzese, Dario ^a   Buono, Paolo ^b  

^a UNIVERSITY OF MACERATA   (Italy)

^b UNIVERSITY OF BARI   (Italy)

Author keywords

Association rules; Graph drawing; Parallel coordinates; Visual data mining

Indexed keywords

ASSOCIATION RULES MINING; ASSOCIATION STRUCTURES; DATA MINING ALGORITHM; GRAPH DRAWING; GRAPH-BASED TECHNIQUES; INFORMATION VISUALIZATION; PARALLEL COORDINATES; VISUAL DATA MINING;

ALGORITHMS; ASSOCIATION RULES; DRAWING (GRAPHICS); INFORMATION SYSTEMS;

DATA MINING;

EID: 26944464668     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/989863.989930     Document Type: Conference Paper

References (11)

1. Agrawal, R., Imielinski, T., and Swami, A. (1993). Mining Associations between sets of items in massive databases, Proc. of the ACM-SIGMOD Conference on Management of Data, 1993, Washington DC, 207-216.\
2. Bruzzese, D. and Davino, C. (2003) Visual Post Analysis of Association Rules. Journal of Visual Languages and Computing 14 (6), 621-635
3. Buono, P., Analysing Association Rules with an Interactive Graph-Based Technique, Proceedings of the HCI International 2003 Conference, Crete, Greece, pp. 675-679.
4. Di Battista, G., Eades, P., Tamassia, R., and Tollis, I., G. (1999). Graph Drawing Algorithms for the Geometric Representation of Graphs, Prentice Hall.
5. Hofmann, H., and Wilhelm, A., (2001). Visual comparison of association rules. Computational Statistics, 16 (3), 399-415.
6. Inselberg, A., (1981). N-dimensional Graphics, part I - Lines and Hyperplanes, in IBM LASC Tech. Rep. G320-2711, 140 pages. IBM LA Scientific Center
7. Hao M., Hsu M., Dayal U., Wei S.F., Sprenger T., and Holenstein T., (2001). Market Basket Analysis Visualization on a Spherical Surface. http://www.hpl.hp.com/techreports/2001/HPL-2001-3.pdf
8. Hetzler B., Harris W. M., Havre S., and Whitney P. (1998). Visualizing the Full Spectrum of Document Relationships. Proceedings of the Fifth Internatioanl Society for Knowledge Organization (ISKO) Conference.
9. Keim, D. and Ankerst, M., (2001). Visual data mining and exploration of large databases, a Tutorial. Proceedings of the Workshop on Visual Data Mining, PKDD'01, Freiburg, Germany.
10. Shneiderman, B., (2002). Inventing discovery tools: combining information visualization with data mining. Information Visualization, 1 (1), 5-12.
11. Wong, P.C., Whitney, P. and Thomas, J., (1999). Visualizing Association Rules for Text Mining. Proceedings of IEEE Information Visualization '99, Los Alamitos, CA, 1999. IEEE CS Press